6052304
1
Jan van Rijn
9954
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4086957
axis
0
6947
categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
6947
strategy
"median"
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strategy_nominal
"most_frequent"
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verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
6948
sparse
true
6948
threshold
0.0
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C
4.279065499464843
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cache_size
200
6953
class_weight
null
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coef0
0.0
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decision_function_shape
null
6953
degree
3
6953
gamma
0.000758849188980506
6953
kernel
"rbf"
6953
max_iter
-1
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probability
true
6953
random_state
55801
6953
shrinking
true
6953
tol
0.025041525396978636
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
13027771
description
https://api.openml.org/data/download/13027771/description.xml
-1
13027772
predictions
https://api.openml.org/data/download/13027772/predictions.arff
area_under_roc_curve
0.3492163825757574 [0.440223,0.32414,0.317274,0.327573,0.330848,0.31029,0.332623,0.317748,0.311435,0.301255,0.338818,0.341501,0.355271,0.373264,0.341659,0.408696,0.318813,0.344776,0.361032,0.3823,0.346709,0.359809,0.366872,0.332899,0.351562,0.34959,0.402936,0.337279,0.336845,0.334478,0.357126,0.327691,0.380524,0.33361,0.354877,0.326862,0.353733,0.364386,0.329072,0.326626,0.388928,0.329388,0.32631,0.343671,0.330808,0.417969,0.302754,0.353101,0.358191,0.341264,0.377801,0.341146,0.327296,0.395439,0.317708,0.352431,0.326231,0.334083,0.342921,0.359967,0.331992,0.372277,0.331321,0.33649,0.33069,0.344539,0.391256,0.32852,0.362255,0.374803,0.388613,0.32773,0.369792,0.347577,0.384233,0.338857,0.333254,0.401002,0.331913,0.343789,0.372751,0.311474,0.311316,0.315341,0.38447,0.340554,0.327967,0.351247,0.365964,0.375631,0.362176,0.329309,0.332307,0.38297,0.365609,0.351247,0.357402,0.343119,0.395991,0.353456]
average_cost
0
kappa
-0.010101010101010102
kb_relative_information_score
17.84064047602188
mean_absolute_error
0.01979478117256929
mean_prior_absolute_error
0.019800000000000036
number_of_instances
1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0
prior_entropy
6.6438561897747395
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9997364228570329
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09947716482927484
root_relative_squared_error
0.9997831240819482
total_cost
0
area_under_roc_curve
0.048818266857734285 [0.220126,0.031646,0,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.037975,0.072785,0.088608,0.015823,0.213836,0.053797,0.060127,0.107595,0.119497,0.09434,0.012579,0.081761,0.012579,0,0.025316,0.117089,0.053797,0.003165,0.012579,0.06962,0,0.110759,0.022152,0.037975,0.012579,0.031447,0.081761,0,0.003165,0.050314,0.018868,0,0.012658,0,0.158228,0.006289,0.018868,0.015823,0.041139,0.079114,0.018987,0.031447,0.126582,0.025157,0.025157,0,0,0.012579,0.075949,0.006289,0.031447,0.006329,0.009494,0.012579,0.025316,0.123418,0,0.006289,0.36478,0.155063,0,0.072785,0.047468,0,0.009494,0.006329,0.167722,0.003165,0.031646,0.107595,0.012658,0.012579,0.031447,0.120253,0.031646,0.009494,0.006329,0.155063,0.106918,0.053797,0.006289,0.003165,0.117089,0.018987,0.018987,0.169811,0.047468,0.120253,0.037736]
area_under_roc_curve
0.0468794781466444 [0.213836,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.262658,0.003165,0.150943,0.053797,0.041139,0.053797,0.132075,0.044025,0.08805,0.163522,0.012579,0.031447,0.056962,0.151899,0.003165,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.012579,0,0.050314,0.006289,0,0.044304,0,0.117089,0,0.012579,0.009494,0.025316,0.056962,0.044304,0.012579,0.053797,0.018868,0.006289,0,0,0.044025,0.10443,0.006289,0.119497,0.012658,0.031646,0,0.031646,0.136076,0,0.226415,0.08805,0.142405,0,0.075949,0.053797,0.012579,0.015823,0.018987,0.18038,0.006329,0,0.056962,0.025316,0.006289,0.044025,0.101266,0.015823,0.003165,0.009494,0.047468,0.044025,0.03481,0,0.012658,0.177215,0.015823,0.031646,0.125786,0.037975,0.183544,0.062893]
area_under_roc_curve
0.04249661651142428 [0.094937,0.015823,0,0,0.003165,0.009494,0.037736,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.028481,0.066456,0.129747,0.012658,0.110759,0.056604,0.044304,0.119497,0.044025,0.240506,0.012579,0.044025,0.041139,0.139241,0.050314,0.006329,0.022152,0.081761,0,0.113924,0.012658,0.044025,0,0.050314,0.138365,0.006289,0.006329,0.161392,0.025157,0,0.006289,0.006329,0.201258,0,0.069182,0.022152,0.009494,0.044304,0,0.012579,0.006329,0.012579,0.028481,0,0.006329,0.075472,0.056962,0.006289,0.062893,0.003165,0.062893,0.006329,0.041139,0.129747,0,0.012579,0.063291,0.075949,0.006329,0.012579,0.025316,0.044025,0.009494,0.012658,0.044304,0.025316,0.044304,0.018868,0.025316,0.006329,0.031646,0.100629,0.050314,0,0.022152,0.094937,0.075472,0.082278,0,0,0.075949,0.037975,0.062893,0.050633,0.022152,0.075472,0.079114]
area_under_roc_curve
0.04605699187962744 [0.208861,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.094937,0.022152,0.120253,0.012658,0.082278,0.157233,0.088608,0.025157,0.012579,0.066456,0.006289,0.025157,0.047468,0.183544,0.025157,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.025157,0,0.044025,0.119497,0.006289,0,0.066456,0,0,0.006289,0.003165,0.150943,0.006329,0.025157,0.003165,0.006329,0.028481,0.006289,0.018868,0.164557,0.018868,0.075949,0,0.003165,0.050314,0.037975,0.018868,0.044025,0.009494,0.018868,0.009494,0.022152,0.101266,0.015823,0,0.170886,0.155063,0.006329,0.138365,0.037975,0.050314,0.009494,0.006329,0.14557,0,0.050633,0.075472,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.044304,0.044304,0.081761,0.110759,0,0.025157,0.075949,0.018987,0.081761,0.123418,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04564948053498928 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.015823,0.062893,0.232704,0.012579,0.193038,0.018987,0.063291,0.069182,0.132911,0.025316,0.072785,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.031646,0.044025,0,0.167722,0.018987,0.062893,0,0.072785,0.098101,0,0,0.113924,0.003165,0,0.012579,0,0.220126,0,0.018987,0,0.006329,0.018868,0.037736,0.006329,0.018868,0.009494,0.015823,0,0.022152,0.028481,0.031447,0,0.063291,0.012579,0,0.006329,0.022152,0.119497,0,0.041139,0.06962,0.10443,0,0.056604,0.031447,0.151899,0.018868,0.022152,0.113924,0.012658,0.056604,0.044025,0.012658,0.003165,0.037975,0.150943,0.031447,0.018868,0.012579,0.031646,0.056962,0.138365,0.009494,0,0.100629,0.06962,0.050314,0.047468,0,0.232704,0.14557]
area_under_roc_curve
0.048158237799538275 [0.256329,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.069182,0.037736,0.031447,0.183544,0.03481,0.098101,0.08805,0.148734,0.031646,0.088608,0.009494,0.003165,0.066456,0.047468,0.189873,0.119497,0.006289,0.018987,0.044025,0,0.091772,0.009494,0.037736,0.003165,0.053797,0.082278,0.006329,0,0.107595,0.012658,0,0.025157,0.006289,0.119497,0,0.056962,0.018987,0.012658,0.012579,0.006289,0.047468,0.031447,0.050633,0.047468,0,0.003165,0.031646,0.012579,0.018987,0.082278,0.012579,0,0,0.050633,0.138365,0,0.015823,0.063291,0.123418,0.006329,0.08805,0.031447,0.060127,0.044025,0.012658,0.243671,0.003165,0.069182,0.075472,0,0,0.041139,0.09434,0.012579,0,0.006289,0.060127,0.056962,0.050314,0.006329,0.018868,0.037736,0.03481,0.018868,0.129747,0.018868,0.188679,0.132911]
area_under_roc_curve
0.04714891330308098 [0.094937,0.031447,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.231013,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.03481,0.022152,0.022152,0.144654,0.08805,0.107595,0,0,0.088608,0.012579,0.113208,0.031447,0.018987,0,0.044304,0.075949,0.003165,0,0.174051,0.012658,0,0.012658,0.075472,0.082278,0.009494,0.079114,0.012579,0.012579,0.100629,0.015823,0.044304,0.125786,0.053797,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.136076,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.022152,0.119497,0,0.079114,0.081761,0.044304,0.006289,0,0.257862,0.025157,0.025157,0.142405,0.018868,0.009494,0.012658,0.060127,0.012658,0,0.069182,0.044025,0.075949,0.037736,0,0.009494,0.138365,0.044025,0.018987,0.132911,0.050314,0.158228,0.072785]
area_under_roc_curve
0.04485635100708543 [0.056962,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.047468,0.006289,0.050314,0.155063,0.031447,0.144654,0.06962,0.075949,0.028481,0.028481,0.139241,0.012658,0.028481,0.037736,0.132075,0.028481,0.144654,0.006329,0.06962,0,0.08805,0.012579,0.022152,0,0.053797,0.094937,0.003165,0,0.161392,0.003165,0,0.022152,0.031447,0.14557,0,0.047468,0.012579,0.044025,0.295597,0.044304,0.066456,0.069182,0.012658,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.006329,0.081761,0.176101,0,0.041139,0.009494,0.119497,0,0.085443,0.018868,0.060127,0.018868,0,0.031447,0,0.031447,0.075949,0.018868,0.015823,0.022152,0.06962,0.028481,0,0.075472,0.062893,0.079114,0.031447,0,0.003165,0.037736,0.025157,0.028481,0.075949,0.031447,0.142405,0.151899]
area_under_roc_curve
0.042057758140275486 [0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.060127,0.018987,0.169811,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.09434,0.015823,0.047468,0.018868,0.125786,0.012658,0,0.006289,0.060127,0,0.075472,0.012579,0.009494,0,0.047468,0.041139,0.006329,0,0.044025,0,0,0.028481,0.012658,0.262658,0,0.031646,0.025157,0.018868,0.085443,0.015823,0.015823,0.142405,0.044304,0.125786,0,0.050314,0.012658,0.025316,0.012658,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.150943,0.044025,0.012579,0.161392,0.022152,0.041139,0.047468,0,0.08805,0.025157,0.047468,0.098101,0.037736,0.012579,0.018868,0.037975,0.012658,0,0.037975,0.031447,0.094937,0.072785,0.006329,0.006329,0.088608,0.037736,0.088608,0.106918,0.006329,0.148734,0.062893]
area_under_roc_curve
0.041542771276172286 [0.18239,0.053797,0,0,0,0,0.003165,0,0.015823,0,0.025157,0.006289,0.037975,0.037975,0.025316,0.232704,0.031447,0.018868,0.06962,0.132075,0.06962,0.082278,0.006289,0.018987,0.050633,0.012579,0.132075,0.072785,0.018987,0.031447,0.031646,0,0.125786,0,0.028481,0.006329,0.03481,0.047468,0,0,0.037736,0.006329,0,0.012658,0.012658,0.041139,0,0.041139,0.025157,0.012579,0.050633,0.012658,0.037975,0.101266,0.009494,0.037736,0,0.006289,0.031646,0.056962,0.012658,0.050633,0.015823,0.009494,0.018868,0.018868,0.132911,0,0,0.044025,0.150943,0,0.050633,0.041139,0.132911,0.03481,0,0.150943,0.006289,0.025316,0.050633,0.018868,0.056604,0.006289,0.056962,0.006329,0.003165,0.053797,0.006289,0.110759,0.088608,0,0.006329,0.126582,0.037736,0.047468,0.169811,0.044304,0.202532,0.056604]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kb_relative_information_score
1.784935065218
kb_relative_information_score
1.7849284384479924
kb_relative_information_score
1.783484085447379
kb_relative_information_score
1.7841279610444636
kb_relative_information_score
1.7834386196556533
kb_relative_information_score
1.78396125461785
kb_relative_information_score
1.7833214363724232
kb_relative_information_score
1.7836524886484728
kb_relative_information_score
1.7842134783763504
kb_relative_information_score
1.7845776481932916
mean_absolute_error
0.01979478712134081
mean_absolute_error
0.019794781589734398
mean_absolute_error
0.019794782380905054
mean_absolute_error
0.019794779781100422
mean_absolute_error
0.019794777898490396
mean_absolute_error
0.01979477445473421
mean_absolute_error
0.019794784200507745
mean_absolute_error
0.019794780271873112
mean_absolute_error
0.019794780244032924
mean_absolute_error
0.019794783782973883
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9997367233000394
relative_absolute_error
0.999736443925978
relative_absolute_error
0.999736483884092
relative_absolute_error
0.9997363525808278
relative_absolute_error
0.9997362574995133
relative_absolute_error
0.9997360835724333
relative_absolute_error
0.9997365757832177
relative_absolute_error
0.9997363773673272
relative_absolute_error
0.9997363759612571
relative_absolute_error
0.999736554695649
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_squared_error
0.0994771896532743
root_mean_squared_error
0.09947716126217013
root_mean_squared_error
0.09947717145554259
root_mean_squared_error
0.09947715810087897
root_mean_squared_error
0.09947715208653407
root_mean_squared_error
0.09947713431220306
root_mean_squared_error
0.09947718440054107
root_mean_squared_error
0.09947716431675799
root_mean_squared_error
0.09947715719684591
root_mean_squared_error
0.09947717550798721
root_relative_squared_error
0.9997833735725304
root_relative_squared_error
0.9997830882311973
root_relative_squared_error
0.9997831906784452
root_relative_squared_error
0.9997830564590255
root_relative_squared_error
0.999782996012585
root_relative_squared_error
0.999782817373837
root_relative_squared_error
0.9997833207805751
root_relative_squared_error
0.9997831189309604
root_relative_squared_error
0.9997830473731516
root_relative_squared_error
0.9997832314070461
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
2828.7949039999776
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
2664.7947449999947
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
144.1904619999832
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
149.40973899999221
usercpu_time_millis_testing
149.09371100000612
usercpu_time_millis_testing
149.88027900000134
usercpu_time_millis_testing
149.40082499998653
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
2530.9164549999823
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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